Mathematical Modeling - A Dynamical Systems Approach to Analyze Practical Problems in STEM Disciplines (Hardcover, 1st ed. 2022)

This book provides qualitative and quantitative methods to analyze and better understand phenomena that change in space and time. An innovative approach is to incorporate ideas and methods from dynamical systems and equivariant bifurcation theory to model, analyze and predict the behavior of mathematical models. In addition, real-life data is incorporated in the derivation of certain models. For instance, the model for a fluxgate magnetometer includes experiments in support of the model. The book is intended for interdisciplinary scientists in STEM fields, who might be interested in learning the skills to derive a mathematical representation for explaining the evolution of a real system. Overall, the book could be adapted in undergraduate- and postgraduate-level courses, with students from various STEM fields, including: mathematics, physics, engineering and biology.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Mathematical Engineering
Release date:	September 2022
First published:	2022
Authors:	Antonio Palacios
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	564
Edition:	1st ed. 2022
ISBN-13:	978-3-03-104728-2
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
LSN:	3-03-104728-1
Barcode:	9783031047282

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